realsr-ncnn-vulkan | RealSR super resolution implemented with ncnn library | Machine Learning library

 by   nihui C Version: 20220728 License: MIT

kandi X-RAY | realsr-ncnn-vulkan Summary

kandi X-RAY | realsr-ncnn-vulkan Summary

realsr-ncnn-vulkan is a C library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Pytorch, Tensorflow applications. realsr-ncnn-vulkan has no bugs, it has no vulnerabilities, it has a Permissive License and it has medium support. You can download it from GitHub.

Real-World Super-Resolution via Kernel Estimation and Noise Injection (CVPRW 2020). Xiaozhong Ji, Yun Cao, Ying Tai, Chengjie Wang, Jilin Li, and Feiyue Huang. Our solution is the winner of CVPR NTIRE 2020 Challenge on Real-World Super-Resolution in both tracks.
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              realsr-ncnn-vulkan has a medium active ecosystem.
              It has 923 star(s) with 97 fork(s). There are 31 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 30 open issues and 12 have been closed. On average issues are closed in 15 days. There are 4 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of realsr-ncnn-vulkan is 20220728

            kandi-Quality Quality

              realsr-ncnn-vulkan has 0 bugs and 0 code smells.

            kandi-Security Security

              realsr-ncnn-vulkan has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              realsr-ncnn-vulkan code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              realsr-ncnn-vulkan is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

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              realsr-ncnn-vulkan releases are available to install and integrate.
              Installation instructions, examples and code snippets are available.

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            realsr-ncnn-vulkan Key Features

            No Key Features are available at this moment for realsr-ncnn-vulkan.

            realsr-ncnn-vulkan Examples and Code Snippets

            No Code Snippets are available at this moment for realsr-ncnn-vulkan.

            Community Discussions

            Trending Discussions on realsr-ncnn-vulkan

            QUESTION

            How can I get the Vulkan API working in Google Colab
            Asked 2020-Oct-13 at 03:26

            I tried running realsr-ncnn-vulkan to just test upscaling a simple image on Google's Colab platform. https://github.com/nihui/realsr-ncnn-vulkan

            The problem is that once I try to run it I'm getting the error

            error while loading shared libraries: libvulkan.so.1: cannot open shared object file: No such file or directory

            So what do I need to install prior before running it? Or is there no way to get vulkan working despite the pretty powerful GPU?

            ...

            ANSWER

            Answered 2020-Oct-10 at 05:03

            You are missing the libraries:

            depending on your setup you need:

            Source https://stackoverflow.com/questions/64267679

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install realsr-ncnn-vulkan

            Download and setup the Vulkan SDK from https://vulkan.lunarg.com/
            For Linux distributions, you can either get the essential build requirements from package manager
            Clone this project with all submodules
            Build with CMake
            You can pass -DUSE_STATIC_MOLTENVK=ON option to avoid linking the vulkan loader library on MacOS

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            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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